Evidence map›Paper›PMID 32771008›Full record

ArticleBMC health services research2020

Surgical referrals in Northern Tanzania: a prospective assessment of rates, preventability, reasons and patterns.

Desmond T Jumbam, Gopal Menon, Tenzing N Lama, William Lodge Ii, Sarah Maongezi, Ntuli A Kapologwe, Isabelle Citron, David Barash, John Varallo, Erin Barringer and 4 more

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Desmond T Jumbam *Program in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA. desmond.jumbam@gmail.com.ORCID http://orcid.org/0000-0002-3062-2519
Gopal Menon *Program in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Tenzing N LamaProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
William Lodge IiProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Sarah MaongeziMinistry of Health, Community Development, Gender, Elderly and Children, Dodoma, Tanzania.
Ntuli A KapologwePresident's Office, Regional Administration and Local Government, Dodoma, Tanzania.
Isabelle CitronProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
David BarashGE Foundation, Boston, MA, USA.
John VaralloJhpiego, Baltimore, MD, USA.
Erin BarringerDalberg Advisors, New York, NY, USA.
Monica CainerAssist International, Ripon, CA, USA.
Mpoki UlisubisyaMinistry of Health, Community Development, Gender, Elderly and Children, Dodoma, Tanzania.
Shehnaz Alidina *Program in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Boniface Nguhuni *President's Office, Regional Administration and Local Government, Dodoma, Tanzania.

Funding

AHRQ HHS R18 HS024235
6 · The paper itself

Abstract

backgroundAn effective referral system is essential for a high-quality health system that provides safe surgical care while optimizing patient outcomes and ensuring efficiency. The role of referral systems in countries with under-resourced health systems is poorly understood. The aim of this study was to examine the rates, preventability, reasons and patterns of outward referrals of surgical patients across three levels of the healthcare system in Northern Tanzania.

methodsReferrals from surgical and obstetric wards were assessed at 20 health facilities in five rural regions prospectively over 3 months. Trained physician data collectors used data collection forms to capture referral details daily from hospital referral letters and through discussions with clinicians and nurses. Referrals were deemed preventable if the presenting condition was one that should be managed at the referring facility level per the national surgical, obstetric and anaesthesia plan but was referred.

resultsSeven hundred forty-three total outward referrals were recorded during the study period. The referral rate was highest at regional hospitals (2.9%), followed by district hospitals (1.9%) and health centers (1.5%). About 35% of all referrals were preventable, with the highest rate from regional hospitals (70%). The most common reasons for referrals were staff-related (76%), followed by equipment (55%) and drugs or supplies (21%). Patient preference accounted for 1% of referrals. Three quarters of referrals (77%) were to the zonal hospital, followed by the regional hospitals (17%) and district hospitals (12%). The most common reason for referral to zonal (84%) and regional level (66%) hospitals was need for specialist care while the most common reason for referral to district level hospitals was non-functional imaging diagnostic equipment (28%).

conclusionsImproving the referral system in Tanzania, in order to improve quality and efficiency of patient care, will require significant investments in human resources and equipment to meet the recommended standards at each level of care. Specifically, improving access to specialists at regional referral and district hospitals is likely to reduce the number of preventable referrals to higher level hospitals, thereby reducing overcrowding at higher-level hospitals and improving the efficiency of the health system.

Indexed as

Surgical Procedures, OperativeAdultDelivery of Health CareFemaleHealth Services ResearchHumansMaleMiddle AgedPregnancyProspective StudiesReferral and ConsultationTanzaniaHealth systemsReasons for referralReferral patternsReferral rateReferral systemsSurgical systems

Identifiers

PMID32771008
PMCPMC7414731

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.